AI agents are revolutionizing data governance, as discussed in a recent session featuring top executives in data and AI. These non-human entities are transforming how data is accessed, analyzed, and utilized across various sectors, including financial services and healthcare. While AI offers unparalleled automation and personalization opportunities, it also introduces new governance challenges. Traditional models struggle to adapt, leading to identity sprawl, policy gaps, and heightened demand for smarter governance strategies. Key insights from the session include the impact of AI on enterprise data architecture, emerging risks related to explainability and identity management, and governance solutions that incorporate policy automation and dynamic monitoring. Notable speakers included Kiran Kanetkar from Cencora and Vignesh Shetty from Medtronic, with Matthew Carroll from Immuta serving as the moderator. As AI continues to evolve, organizations must adapt their governance frameworks to ensure effective data management and compliance.
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